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Updated: Jan 11, 2026

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Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
Published on: November 11, 2020
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Low-cost and bendable patient-specific three-dimensional pulmonary vessel models for lung segmentectomy
Toshihiro Ojima1, Tomoshi Tsuchiya1, Naru Kitade1
1Department of Thoracic Surgery, University of Toyama, Toyama, Japan.
Summary
This study introduces cost-effective, bendable 3D pulmonary vessel models made from thermoplastic polyurethane (TPU). These patient-specific models enhance surgical planning and training for lung segmentectomy procedures.
Area of Science:
- Thoracic Surgery
- Medical Device Development
- 3D Printing in Medicine
Background:
- Lung segmentectomy is increasingly adopted for its benefits in preserving pulmonary function and improving survival.
- The procedure is technically challenging due to intraoperative anatomical shifts.
- A need exists for improved surgical training tools for thoracic surgeons.
Purpose of the Study:
- To develop a low-cost, patient-specific, and bendable 3D pulmonary vessel model.
- To evaluate the clinical application and effectiveness of this model in lung segmentectomy.
Main Methods:
- Flexible 3D pulmonary vessel models were fabricated using thermoplastic polyurethane (TPU) filaments.
- Preoperative CT images were processed for annotation of pulmonary structures and tumors.
- Models were utilized for surgical planning, intraoperative navigation, and resident education.
Main Results:
- 31 lung segmentectomies were performed using TPU-based models between September 2024 and January 2025.
- TPU models demonstrated superior flexibility compared to polylactic acid models in simulating vascular deformation.
- Model usage improved anatomical understanding, intraoperative vessel recognition, and surgical training.
Conclusions:
- Bendable TPU-based 3D pulmonary vessel models are cost-effective and anatomically accurate.
- These models have significant potential for application in thoracic surgery planning, navigation, and education.

